Artificial Intelligence for the Utility of the Future Hannover Messe - - PowerPoint PPT Presentation

Artificial Intelligence for the Utility

• f the Future

Hannover Messe – Smart Grid Forum 2016

Some basic facts

€47,000,000,000,000*

• An accumulative investment of €6,037bn is expected to be invested in

T&D (New Demand, Renewables and Refurbishment) till 2035.

• On average €350bn are invested each year in T&D.
• Each day a utility creates the same amount of data they accumulated in

a year only a couple of years ago and this will continue to increase. Exponentially.

• 80% or more of that data is unstructured.

* According to the IEA the accumulative amount that needs to be invested in energy supply and efficiency by 2035 with a strong emphasis on energy efficiency to meet the 2⁰C climate change target

For a small investment in AI, utilities can enhance the information embedded in all their data and significantly leverage their vast investment in IoT with:

– Machine learning – Powerful visualization – Natural language querying – Capture experiential (tribal) knowledge from the workforce

From data rich to knowledge rich

Traditional Analytics

Traditional Analytics

Real Time Big Data

Extraction, Translation & Loading

Graph Databases

User Visual Intelligence

• Smart by not intelligent – no machine learning
• Cannot acquire knowledge & model dynamically
• Cannot interact with Users in a conversational fashion
• Are not capable of being “app” driven

Analytics is the discovery, interpretation and communication of meaningful patterns in data

Next-Gen of analytics – multi dimensional

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Static System Adaptive System integrating multiple sources

App Orchid’ Unique Approach.

Analytics ++

Real Time Big Data Graph Databases Unstructured

User Visual Intelligence

• Continuously learning and improving
• Knowledge acquisition & Discovery is automated
• Bringing structured data into play (80% of all data!!)
• Capable of Human conversation.

Natural Language Interface

Deep Learning

Knowledge Acquisition Knowledge Discovery Knowledge Curation

Teaching machines to think like humans

Performance Asset Risk “has” Solar Pane l “typeof” Inverter

• How are objects processed
• How does one object influence

another?

• How do we visualize Objects?
• How do we Analyze Objects?
• How do we process

dependencies and study root cause?

• How do you make systems

think like “Human Beings”?

“typeof”

Building a “facebook” for the Energy World.

Performance & Predictive Weather External Feeds Asset Management

Analytical Apps

When was the deviation from the DDP the highest ? Type a question Unstructured Data Results Capture Tribal Knowledge Structured Data Apps

Geospatial visuatization

d d d d

Regional Outage analysis based on the Severity index Temporal analysis of outages based on severity conditions.

Powerful suite of KPIs for Renewables.

A Learning System

What is the expected forecast for a typical month of July

Confidential & Proprietary : App Orchid Inc - 2014

Simulate cloud cover action using a natural language based scenario builder

Microgrid Analysis

Clustering analysis for the “Rubber banded” area shows the Cost and Outage Implications around asset performance Ask me anything you want. For example, how many boilers are operating below capacity ?

Demo

Benefits to the customer

• Greater forecasting accuracy
• Faster analysis
• Increased dispatching efficiency
• Reduction of cost
• A solution for retiring workforce

Contact

Dan Goldenblatt Director, Business Development (EMEA) Email: dang@Apporchid.com Tel: +49 33203 269013 Mob: +49 173 3491154 www.apporchid.com

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